iesahin/xvc

A robust (🐢) and fast (🐇) MLOps tool for managing data and pipelines in Rust (🦀)

48
/ 100
Emerging

This tool helps data scientists and machine learning engineers manage large datasets, like images, audio, or documents, alongside their code in Git. It lets you define data processing pipelines that automatically run when your input data or parameters change. You can store your versioned datasets in cloud storage (S3, GCS) or local directories, and efficiently share specific subsets with team members.

Use this if you need to version large data files with your code, manage different versions or subsets of data efficiently across multiple locations, and automate data processing or model training workflows based on changes to your data.

Not ideal if your project deals exclusively with small, code-only files and doesn't involve large datasets or complex, data-driven pipelines.

data-versioning MLOps data-management pipeline-automation large-file-storage
No Package No Dependents
Maintenance 10 / 25
Adoption 14 / 25
Maturity 16 / 25
Community 8 / 25

How are scores calculated?

Stars

72

Forks

4

Language

Rust

License

GPL-3.0

Last pushed

Feb 20, 2026

Monthly downloads

128

Commits (30d)

0

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